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基于人工蜂群算法的电网故障诊断
引用本文:韦晓广,陈奎.基于人工蜂群算法的电网故障诊断[J].工矿自动化,2012,38(11):30-36.
作者姓名:韦晓广  陈奎
作者单位:中国矿业大学信电学院,江苏徐州,221008
摘    要:针对电网故障诊断中的0-1规划问题,从代数和几何角度优化了人工蜂群算法。仿真结果表明,人工蜂群算法具有可行性和合理性,并且综合性能显著优于传统的遗传算法;在两种人工蜂群算法中,基于几何思想的人工蜂群算法具有更好的稳定性和搜索能力,更加适用于对稳定性和精准度要求很高的场合。

关 键 词:电网故障诊断  人工蜂群算法  代数方法  几何方法  算法优化  0-1规划

Fault Diagnosis of Power Network Based on Artificial Bee Colony Algorithm
WEI Xiao-guang,CHEN Kui.Fault Diagnosis of Power Network Based on Artificial Bee Colony Algorithm[J].Industry and Automation,2012,38(11):30-36.
Authors:WEI Xiao-guang  CHEN Kui
Affiliation:(School of Information and Electrical Engineering of CUMT.,Xuzhou 221008,China)
Abstract:In order to solve 0-1 programming problem in fault diagnosis of power network,the paper proposed optimization methods of artificial bee colony algorithm from aspects of algebra and geometry.The simulation results show that the artificial bee colony algorithm is feasible and reasonable,and the overall performance is significantly superior to traditional genetic algorithms;artificial bee colony algorithm based on geometric has better stability and search capabilities than the algorithm based on algebraic,and is more suitable for occasions with high stability and accuracy requirements.
Keywords:fault diagnosis of power network  artificial bee colony algorithm  algebra method  geometry method  algorithm optimization  0-1 programming
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